ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on real-time big data analytics, sustainable Industry 4.0 wireless networks, and Internet of Things-based decision support systems in cyber-physical smart manufacturing. Using and replicating data from Capgemini, Forrester, Microsoft, PwC, Siemens, and SME, I performed analyses and made estimates regarding big data-driven manufacturing. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical smart manufacturing; Internet of Things; Industry 4.0

How to cite: Hamilton, S. (2021). “Real-Time Big Data Analytics, Sustainable Industry 4.0 Wireless Networks, and Internet of Things-based Decision Support Systems in Cyber-Physical Smart Manufacturing,” Economics, Management, and Financial Markets 16(2): 84–94. doi: 10.22381/emfm16220215.

Received 13 January 2021 • Received in revised form 18 June 2021
Accepted 20 June 2021 • Available online 25 June 2021

Steve Hamilton
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The Cognitive Labor Institute,
New York City, NY, USA

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